Dynamic Clustering in an Object-Oriented Distributed System

In an O-O large distributed system, object grouping is crucial in order to optimize communications between objects and disk I/O transfers. In this paper, we present a general purpose and scalable object clustering method which is integrated with garbage collection and load balancing processing. We propose a mixed dynamic and programmer-driven approach. 1 Introduction The evolution of distributed applications is characterized by a growing number of nodes and (possibly persistent) objects, due to an increasing number of users and to code reuse. As a result, object clustering is important for performance purpose: to co-locate objects that communicate often, and to optimize disk I/O. Moreover, object clustering does not only improve paging performance but also memory usage, efficiency of garbage collection and load balancing. In addition, we adopt the following goals: to provide transparent, general purpose, multi-language and scalable solutions. We discard application specific solutions ..